Evaluation of Random Forest and LSTM for sEMG-Based Estimation of Two DOF Wrist Kinematics
Robotic wrist rehabilitation after stroke requires control signals that reflect the user’s volitional intent, while clinically deployable systems are constrained by the number of surface electromyography (sEMG) channels that can be practically placed on a hemiparetic forearm. This study evaluates how far a single sEMG...